***Submissions***
The organisers of the Data Economy workshop kindly invite you to submit research full papers (10-20 pages) presenting new results and short papers (6-9 pages) with disruptive ideas and work-in-progress, shedding light on how online data change economy and business. Accepted papers will appear in a post-conference proceedings volume to be published by LNCS Springer. Submitted papers should follow the INSCI Paper Submission Guidelines.

***Description***
Big data, data analytics, personal data, open data, linked data, metadata, data journalism, data science, data infrastructures, …, and still you can add a new “data” phrase!
Data has become a buzzword used in a number of disciplines, by technical and business communities. At the same time, the growing interaction among corporate, governmental and personal information spaces introduces a novel set of opportunities and challenges for the economy.
The DATA ECONOMY workshop will try to engage scholars and professionals from multiple disciplines including economics, management, open governance, data science, computer science and software engineering in discussions related to how digital data, scattered in decentralised information systems and applications and being accessible via the Web, change the economy and the ways we are doing business.
Possible topics for discussion (but not limited to):

-Economic theory and practice related to online data and the Web (e.g. Web economics)
-Data infrastructures (and open standards) for the economy (e.g. open banking standard)
-Data and information strategies and policies
-Open data as a tool in economic policy
-Open data for business and economic development
-Financial data transparency (e.g. open ownership, open budgets)
-Business practices and the economic impact of GAFA
-Business intelligence and data analytics
-Business models and value creation in data-oriented environments
-Data and content based e-commerce
-The role of data in the Digital Single Market in Europe
-Open Scientific Data and the European Open Science Cloud
-Computational economy and big data in finance
-Big data in operational research, business intelligence and economic analysis
-Personal data and Personal Information Management systems (PIMS): markets, business models and consumer behaviour
-Economic implications of data transparency and algorithmic (or AI) accountability
-Social media analytics: business models and economic impact
-Measuring the data economy (e.g. open data indices, societal impact etc.)
-Legal issues in the data economy
-Security issues for data economy stakeholders (e.g. in security for data centres, cloud infrastructure, user authentication etc.)
-Privacy as a commodity and privacy-related aspects of monetising user data